Project Name
How Ksolves Transformed a Financial System with OpenShift & Microservices
Our client belongs to the finance industry and works on managing sensitive information and all types of transactions. They use Red Hat OpenShift for running servers on-premises and have a secure Linux-based environment. Additionally, there were issues of fault tolerance and high concurrency arising in their system. This makes the client search for a highly efficient system that can handle thousands of concurrent users and process millions of transactions each day.
- Challenges with Monolithic Architecture: The client’s existing system faced performance, scalability, and technical debt issues due to its monolithic structure.
- Difficulty in User Management: Managing multiple users and providing simultaneous services was a significant challenge.
- Complex System Dependencies: The client struggled to handle multiple functionalities and dependencies for smooth operations.
After understanding the client’s requirements and challenges, the Ksolves team provided a robust approach to the client that leveraged the use of modern microservices architectural patterns and technologies. The entire Ksolves solution is mentioned below, step-by-step:
- Transition to Microservices for Scalability: Ksolves implemented a microservices architecture to replace the monolithic system, enabling better scalability, fault isolation, and ease of management.
- Efficient Transaction Management: The Saga Pattern was introduced for distributed transactions, ensuring consistency across multiple microservices.
- Failure Handling with Circuit Breaker: The Circuit Breaker pattern was implemented to gracefully manage failures and prevent system-wide disruptions.
- Service Registry for Seamless Communication: A Service Registry was integrated to efficiently manage and direct thousands of applications for instant communication.
- Optimized Data Operations with CQRS: CQRS (Command Query Responsibility Segregation) was implemented to separate read and update operations for improved performance.
- Independent Databases for Each Service: A database-per-service pattern was adopted to enhance data isolation, scalability, and independence.
- Backend for Frontend (BFF) Implementation: BFF was introduced to create dedicated services for front-end applications, ensuring tailored data manipulation and presentation.
- Event-Driven Architecture for Real-Time Processing: An event-driven model was deployed to enable instant communication and efficient workflow handling.
- API Gateway for Centralized Access: The implementation of an API Gateway provided a single entry point for client applications, streamlining request management and routing.
With the implementation of Modern Microservices Architectural Patterns and Red Hat OpenShift’s capabilities, the Ksolves team provided a robust approach to the client for handling high concurrency and ensuring fault tolerance. The successful transition to a microservice architecture was coupled with the adoption of multiple microservice patterns to manage the complex system while maintaining security and performance standards. These successful enhancements helped the client serve thousands of concurrent users to deliver an instant experience while safeguarding sensitive financial information.
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